Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.jtbi.2009.07.037
Title: | Dynamical analysis of cellular networks based on the Green's function matrix | Authors: | Perumal, T.M. Wu, Y. Gunawan, R. |
Keywords: | Mathematical model Programmed cell death Robustness Sensitivity analysis Systems biology |
Issue Date: | 2009 | Citation: | Perumal, T.M., Wu, Y., Gunawan, R. (2009). Dynamical analysis of cellular networks based on the Green's function matrix. Journal of Theoretical Biology 261 (2) : 248-259. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jtbi.2009.07.037 | Abstract: | The complexity of cellular networks often limits human intuition in understanding functional regulations in a cell from static network diagrams. To this end, mathematical models of ordinary differential equations (ODEs) have commonly been used to simulate dynamical behavior of cellular networks, to which a quantitative model analysis can be applied in order to gain biological insights. In this paper, we introduce a dynamical analysis based on the use of Green's function matrix (GFM) as sensitivity coefficients with respect to initial concentrations. In contrast to the classical (parametric) sensitivity analysis, the GFM analysis gives a dynamical, molecule-by-molecule insight on how system behavior is accomplished and complementarily how (impulse) signal propagates through the network. The knowledge gained will have application from model reduction and validation to drug discovery research in identifying potential drug targets, studying drug efficacy and specificity, and optimizing drug dosing and timing. The efficacy of the method is demonstrated through applications to common network motifs and a Fas-induced programmed cell death model in Jurkat T cell line. © 2009 Elsevier Ltd. All rights reserved. | Source Title: | Journal of Theoretical Biology | URI: | http://scholarbank.nus.edu.sg/handle/10635/25771 | ISSN: | 00225193 10958541 |
DOI: | 10.1016/j.jtbi.2009.07.037 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.